Oracle - Data Integration and ETL with Oracle Warehouse Builder

KURSZIEL
Oracle - Data Integration and ETL with Oracle Warehouse Builder: In this 5-day hands-on course, students spend the first 3 days exploring the concepts, design issues, architecture, and terminology related to Oracle Warehouse Builder 11g, Release 2. These three days cover basic ETL activities using the subset of OWB functionality included in the Oracle Database 11g, Release 2 license.
The last 2 days of this course cover advanced ETL, data integration, and data warehousing functionality in Oracle Warehouse Builder, Release 2, beyond the basic ETL activities covered in the first 3 days. This part of the course requires the Oracle Warehouse Builder Enterprise ETL/ODI EE option.
Learn To :

• Retrieve data from different types of sources such as flat files or relational schemas
• Use the different transformation operators to design an ETL task
• Load data by executing the mappings or the process flows
• Use OWB features to manage metadata changes, debug mappings, backup metadata, manage security, and tune the ETL mappings for better performance
• Integrate Warehouse Builder with OBI EE
• Explain the Warehouse Builder architecture and configuration

Teilnehmerkreis:

• Data Warehouse-Analytiker
• Data Warehouse-Administrator
• Entwickler

Kursziele:

• Backup the OWB Projects using the MDL Export/Import and create snapshots to manage metadata changes
• Load tables and view the resulting data
• Use the Mapping Debugger to debug mappings
• Apply performance enhancement methods in the mappings
• Report on the ETL Jobs using the Repository Browser
• Describe the OBI EE integration
• Use OWB to define, deploy, and execute basic source to relational target ETL programs
• Describe the Name and Address cleansing and Match-merging
• Define metadata representing flat file and relational sources, and relational table targets
• Create simple mappings from flat file and relational sources to relational targets
• Explain the use of different Mapping Editor operators
• Define a process flow for a set of simple mappings
• Use OWB tools to deploy tables, mappings, and related objects

ZIELGRUPPE
In this 5-day hands-on course, students spend the first 3 days exploring the concepts, design issues, architecture, and terminology related to Oracle Warehouse Builder 11g, Release 2. These three days cover basic ETL activities using the subset of OWB functionality included in the Oracle Database 11g, Release 2 license.
The last 2 days of this course cover advanced ETL, data integration, and data warehousing functionality in Oracle Warehouse Builder, Release 2, beyond the basic ETL activities covered in the first 3 days. This part of the course requires the Oracle Warehouse Builder Enterprise ETL/ODI EE option.
Learn To :

• Retrieve data from different types of sources such as flat files or relational schemas
• Use the different transformation operators to design an ETL task
• Load data by executing the mappings or the process flows
• Use OWB features to manage metadata changes, debug mappings, backup metadata, manage security, and tune the ETL mappings for better performance
• Integrate Warehouse Builder with OBI EE
• Explain the Warehouse Builder architecture and configuration

Teilnehmerkreis:

• Data Warehouse-Analytiker
• Data Warehouse-Administrator
• Entwickler

Kursziele:

• Backup the OWB Projects using the MDL Export/Import and create snapshots to manage metadata changes
• Load tables and view the resulting data
• Use the Mapping Debugger to debug mappings
• Apply performance enhancement methods in the mappings
• Report on the ETL Jobs using the Repository Browser
• Describe the OBI EE integration
• Use OWB to define, deploy, and execute basic source to relational target ETL programs
• Describe the Name and Address cleansing and Match-merging
• Define metadata representing flat file and relational sources, and relational table targets
• Create simple mappings from flat file and relational sources to relational targets
• Explain the use of different Mapping Editor operators
• Define a process flow for a set of simple mappings
• Use OWB tools to deploy tables, mappings, and related objects

KURSINHALT
Installing and Setting Up the Warehouse Builder Environment

• What Is Oracle Warehouse Builder?
• Basic Process Flow of Design and Deployment
• Oracle Warehouse Builder Licensing and Connectivity Options
• Installing Oracle Warehouse Builder 11.2
• OWBSYS Schema
• Using OWB 11.2 with Database 10g R2
• Using the Repository Assistant to Manage Workspaces
• Supported operating systems (OS), sources, targets, and optional components

Getting Started with Warehouse Builder

• Logging In to OWB Design Center
• Overview of the Design Center
• OWB Projects
• Overview of Objects within a Project
• Overview of Objects within an Oracle Module
• Organizing Metadata Using Foldering
• Locations Navigator and Global Navigator panels
• Setting Projects Preferences: Recent Logons

Understanding the Warehouse Builder Architecture

• Warehouse Builder Development Cycle
• Overview of the Architecture for Design, Deployment, Execution
• Overview of Configurations, Control Centers, and Locations
• Creating Target Schemas
• Registering DB User as an OWB User
• Roles and Privileges of Warehouse Builder Users
• Registering an Oracle Workflow User

Defining Source Metadata

• Data warehouse implementation: Typical steps
• Difference Between Obtaining Relational and Flat File Source Metadata
• Creating Flat File Module
• Sampling Simple Delimited File
• Sampling Multi-record Flat File
• Creating an Oracle Module
• Selecting the Tables for Import

Defining ETL Mappings for Staging Data

• Purpose of a Staging Area
• Define OWB Mappings
• Mapping Editor Interface: Grouping, Ungrouping, and Spotlighting
• Creating External Tables
• Create and Bind process
• Levels of Synchronizing Changes
• Using the Automapper in the Mapping Editor
• Set loading type and target load ordering

Using the Data Transformation Operators

• Component Palette
• Using a Joiner
• Lookup Operator: Handling Multiple Match Rows
• Using the Subquery Filter Operator
• Using the Set, Sequence, and Splitter Operators
• Pivot and Unpivot Operators
• Using the Aggregator, Constant, Transformation, and Pre/Post Mapping Operators
• Deploying and Executing in Projects Navigator Panel

Cleansing and Match-Merging Name and Address Data

• Integrating Data Quality into ETL
• Name and Address Data Cleansing
• Name and Address Server
• Name and Address Software Providers
• Settings in the Name and Address Operator
• Reviewing a Name and Address Mapping
• Consolidating Data Using the Match Merge Operator
• Using the Match Merge Operator in a Mapping

Using Process Flows

• Process Flow Concepts
• Creating a Process Flow Module, a Process Flow Package and a Process Flow
• Types of Activities: Fork, And, Mapping, End Activity
• Creating Transitions Between Activities
• Some More Activities: Manual, SQLPLUS, Email
• Generating the Process Flow Package

Deploying and Reporting on ETL Jobs

• Logical Versus Physical Implementation
• Setting Object Configuration
• Deployment Concepts
• Invoking the Control Center Manager
• Deploy Options and Preferences
• Repository Browser
• Starting OWB Browser Listener and the Repository Browser
• Browsing Design Center and Control Center Reports

Using the Mapping Debugger

• Overview of the Mapping Debugger
• Initializing a Mapping Debugging Session
• Preparing the testing environment and test data
• Setting breakpoints and watch points
• Evaluating the flow of data to detect mapping errors

Enhancing ETL Performance

• Performance Tuning at Various Levels
• Performance-Related Parameters in ETL Design
• Configuring Mappings for Operating Modes, DML Error Logging, Commit Control, and Default Audit Levels
• Enabling Partition Exchange Loading (PEL) for Targets
• Performance-Related Parameters in Schema Design
• Configuring Indexes, Partitions, Constraints
• Enabling Parallelism and Parallel DML
• Setting Tablespace Properties and Gathering Schema Statistics

Managing Backups, Development Changes, and Security

• Overview of Metadata Loader Utilities (MDL)
• Managing Metadata Changes by Using Snapshots
• Using Change Manager
• Version Management of Design Objects
• Graphical UI for Security Management
• Object-Level Security
• Setting Security Parameters

Integrating with Oracle Business Intelligence Enterprise Edition (OBI EE)

• Business Justification: Tools Integration
• Integrating with OBI EE and OBI SE
• Transferring BI Metadata to OBI EE Server
• Setting Up the UDML File Location
• Deriving the BI Metadata (OBI EE)
• Deploying the BI Module
• Converting the UDML File for OBI EE
• Oracle BI Admin and Answers Tool

Administrative Tasks in Warehouse Builder

• Enterprise ETL License Extends Core In-Database ETL
• Multiple Named Configurations: Why and How
• Using Multiple Named Configurations
• Using Configuration Templates
• Steps for Setting Up OWB in a RAC Environment
• Creating an OWB Schedule

Managing Metadata

• Using Lineage and Impact Analysis Diagrams
• Invoking Lineage and Impact Analysis
• Using the Change Propagation Dialog
• User-Defined Properties, Icons, and Objects
• Using Pluggable Mappings
• Advanced Activity Types in Process Flows
• Native Relational Object Support
• Heterogeneous Predefined SQL Transformations

Accessing Non-Oracle Sources

• Extensible Framework of OWB 11g Release 2
• Benefits of Extensible Code Templates
• Location of Seeded Code Templates
• Creating New Code Templates
• Defining New Integration Platforms in OWB

Designing Mappings with the Oracle Data Integration Enterprise Edition License

• Traditional Versus Code Template (CT) Mappings
• Execution Units in a CT Mapping
• Execution View Versus Logical View
• Assigning a Code Template to an Execution Unit
• Convert a Classic Mapping to a CT Mapping That Utilizes Data Pump
• CT Mappings Deploy to Control Center Agents

Right-Time Data Warehousing with OWB

• What Is Meant by Real-Time Data Warehousing
• What Refresh Frequency Does OWB Support
• Building a Trickle Feed Mapping
• Using Advanced Queues in Trickle Feed Mappings
• Using CDC Code Templates in Mappings for Change Data Capture
• Starting CDC Capture Process

Defining Relational Models

• Defining Dimensions Using Wizards and Editors
• Defining Dimension Attributes, Levels, and Hierarchies
• Binding Dimension Attributes to the Implementation Table
• Using the Create Time Dimension Wizard
• Defining a Cube
• Specifying a Cube's Attributes and Measures
• Designing Mappings Using Relational Dimensions and Cubes

More Relational Dimensional Modeling

• Initial Versus Incremental Data Warehouse Loads
• Updating Data and Metadata
• Capturing Changed Data for Refresh
• Setting Loading Properties
• Choosing the DML Load Type
• How OWB Manages Orphans
• Support for Cube-Organized Materialized Views
• Creating a Type 2 Slowly Changing Dimension

Modeling Multidimensional OLAP Dimensions and Cubes

• What Is OLAP
• Multidimensional Data Types
• Analytic Workspace
• Dimensional Modeling Using OWB
• OWB Calculated Measures
• OWB Calculated Measures

VORRAUSSETZUNG
Empfohlene Vorkenntnisse:

• OTN Oracle By Example (OBE): Oracle Business Intelligence
• Oracle University ILT: Oracle Database 11g: Data Warehousing
• Oracle Database 11g: Data Warehousing Fundamentals